code: def get_parser():
      parser = argparse.ArgumentParser(
          description="Command-line script for preprocessing."
      )
      parser.add_argument(
          "--file_list", type=str, required=True, help="file_list (scp)"
      )
      parser.add_argument(
          "--model",
          type=str,
          required=True,
          help="AV-HuBERT model config",
      )
      parser.add_argument(
          "--pretrained_model_dir",
          type=str,
          default="./local/pre-trained",
          help="AV-HuBERT pretrained model path",
      )
      parser.add_argument(
          "--gpu", type=int, required=True, help="GPU number (job - 1)"
      )
      parser.add_argument(
          "--landmark_path",
          type=str,
          default="./local/LRS3_landmarks",
          help="path including landmark files",
      )
      parser.add_argument(
          "--write_num_frames",
          type=str,
          help="specify wspecifer for num frames",
      )
      parser.add_argument(
          "wspecifier", type=str, help="Write specifier"
      )
      return parser
  
file_path: espnet/egs2/lrs3/avsr1/local/extract_av_feature.py
imports: import argparse
  import os
  import pickle
  import cv2
  import numpy
  import torch
  import torch.nn.functional
  from face_alignment import VideoProcess
  from python_speech_features import logfbank
  from scipy.io import wavfile
  from espnet2.asr.encoder.avhubert_encoder import FairseqAVHubertEncoder
  from espnet.utils.cli_writers import file_writer_helper
label_desc: Use image node_id 6 for calling a global function with example usage: get_parser() and returns: parser